Zhaolin Gao

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I’m a first-year Ph.D. student in Computer Science at Cornell University. I completed my bachelor’s degree in Computer Engineering at University of Toronto. My research includes representation learning, collaborative filtering, natural language processing, and graph neural network. My work has been published at CVPR, WWW, SIGIR, RecSys, and INFOCOM.

I am also a part-time content creator with more than 50,000 followers and 10 million views on Bilibili, Douyin, and YouTube.

Download my CV here.

zg292 [at] cornell.edu

News

Apr 25, 2024 Our paper “REBEL: Reinforcement Learning via Regressing Relative Rewards” is now on arXiv.
Feb 15, 2024 Our paper “Reviewer2: Optimizing Review Generation Through Prompt Generation” is now on arXiv.
Aug 21, 2023 I’m delighted to share that, this fall, I’ll be starting my Ph.D. in Computer Science at Cornell. I feel truly fortunate to have encountered exceptional friends and mentors during my undergraduate journey. I look forward to the challenges and discoveries ahead!
Jun 23, 2023 I graduated from the University of Toronto with a B.A.Sc. in Computer Engineering and a W. S. Wilson Medal! The medal is awarded in each program to the student who obtains the highest weighted average.
Aug 1, 2022 We placed at 2nd for RecSys 2022 challenge and our paper, Session-based Recommendation With Transformers, is accepted at the RecSys 2022 conference!

Selected Publications

  1. arXiv
    REBEL: Reinforcement Learning via Regressing Relative Rewards
    Gao, Zhaolin, Chang, Jonathan D., Zhan, Wenhao, Oertell, Owen, Swamy, Gokul, Brantley, Kianté, Joachims, Thorsten, Bagnell, J. Andrew, Lee, Jason D., and Sun, Wen
    In 2024
  2. arXiv
    Reviewer2: Optimizing Review Generation Through Prompt Generation
    Gao, Zhaolin, Brantley, Kianté, and Joachims, Thorsten
    In 2024
  3. SIGIR
    Mitigating the Filter Bubble while Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems
    Gao, Zhaolin, Shen, Tianshu, Mai, Zheda, Bouadjenek, Mohamed Reda, Waller, Isaac, Anderson, Ashton, Bodkin, Ron, and Sanner, Scott
    In Proceedings of the 45th International ACM SIGIR Conference 2022
  4. WWW
    MCL: Mixed-Centric Loss for Collaborative Filtering
    Gao, Zhaolin*, Cheng, Zhaoyue*, Perez, Felipe, Sun, Jianing, and Volkovs, Maksims
    In Proceedings of the ACM Web Conference 2022